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This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg)Nanyang Technological University, Singapore.
Vibration energy harvesting using macro‑fiber composites
Yang, Yaowen; Tang, Lihua; Li, Hongyun
2009
Yang, Y., Tang, L., & Li, H. (2009). Vibration energy harvesting using macro‑fiber composites.Smart materials and structures, 18(11), 115025‑.
https://hdl.handle.net/10356/99681
https://doi.org/10.1088/0964‑1726/18/11/115025
© 2009 IOP Publishing Ltd. This is the author created version of a work that has been peerreviewed and accepted for publication by Smart Materials and Structures, IOP PublishingLtd. It incorporates referee’s comments but changes resulting from the publishingprocess, such as copyediting, structural formatting, may not be reflected in this document.The published version is available at: [DOI:http://dx.doi.org/10.1088/0964‑1726/18/11/115025].
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1
Vibration Energy Harvesting Using Macro-Fiber Composites
Yaowen YANG 1*, Lihua TANG 2 and Hongyun LI 3
1,2 School of Civil and Environmental Engineering,
Nanyang Technological University,
50 Nanyang Avenue, Singapore 639798
3 Department of Engineering Mechanics,
Shanghai Jiao Tong University,
1954 Huashan Road, Shanghai 200030, P.R.China
1* Corresponding author, [email protected] 2 [email protected]
2
ABSTRACT
The decreasing energy consumption of today's portable electronics has invoked the
possibility of energy harvesting from ambient environment for self power supply.
One common and simple method for vibration energy harvesting is to utilize the
direct piezoelectric effect. Compared to traditional piezoelectric materials such as
lead zirconate titanate (PZT), macro-fiber composites (MFC) are featured in their
flexibility of large deformation. However, the energy generated by MFC is still far
smaller than that required by electronics at present. In this paper, a vibration energy
harvesting system prototype with MFC patches bonded to a cantilever beam is
fabricated and tested. A finite element analysis (FEA) model is established to
estimate the output voltage of the MFC harvester. The energy accumulation
procedure in the capacitor is simulated by using the electronic design automation
(EDA) software. The simulation results are validated by the experimental ones.
Finally, to optimize the efficiency of energy harvesting, the effects of electrical
properties of MFC as well as the geometric configurations of the cantilever beam
and MFC are parametrically studied by combining the FEA and EDA simulations.
Keywords: energy harvesting; piezoelectric; macro-fiber composite; FEA; EDA.
3
1 INTRODUCTION
With the advancement of integrated circuitry, energy consumption of today’s
electronics continues decreasing, invoking the possibility for micro
electromechanical systems, wireless sensors and portable electronics to harvest
energy from ambient environment for self power supply. There are many energy
sources available in the environment but still not well utilized, such as the vibration
energy. One simple method for vibration energy harvesting is to utilize the direct
piezoelectric effect. Compared to the traditional piezoelectric materials such as lead
zirconate titanate (PZT), the macro-fiber composites (MFC) [1] are featured in
flexibility of large deformation, which enables them to harvest energy from ambient
vibration sources with little brittle risk and long lifespan. However, the current and
energy generated by MFC are still far from fulfilling the consumption requirements
of most portable electronics at present.
In the past few years, many studies have been conducted on the energy generation
ability of piezoelectric materials. Umeda et al [2] investigated the efficiency of a
piezoelectric vibrator which converts the impact vibration energy into the electrical
energy. Ramsey and Clark [3] investigated the feasibility of using a piezoelectric
transducer as power supply for a bio-MEMS application. Since polyvinylidene
fluoride (PVDF) exhibits considerable flexibility compared to PZT, Kymissis et al [4]
developed a parasitic power harvester in shoes to gather energy during walking using
4
PVDF. As a new piezoelectric material, the energy harvesting capability of MFC has
not been fully investigated. Sodano et al [5] compared the efficiencies of three
piezoelectric materials, i.e., the traditional PZT, a quick pack actuator and MFC. It
was concluded that MFC is less efficient compared to the conventional piezoelectric
materials, but how to improve the efficiency of energy harvesting of MFC was not
mentioned. If the efficiency of MFC could be improved, it is expected to be more
applicable than PZT in real applications because of its attractive property of
flexibility.
Improvement of energy harvesting efficiency can be achieved by two ways. The first
way is to improve the power output from the harvester. This can be achieved by
changing the geometric configuration of the system or utilizing multiple pieces or
stack configuration of piezoelectric materials [6, 7]. For a cantilever beam system,
the length, width, thickness, beam shape and free end proof mass can be the
candidate parameters to increase the vibration amplitude and to improve the
strain-induced energy output. Jiang et al [8] modeled a cantilever bimorph with a
proof mass attached to its free end and studied the effect of physical and geometrical
parameters on the performance of power generation. Roundy et al [9] stated that, for
the same volume of PZT, a trapezoidal cantilever could generate more than twice
energy than a rectangular beam.
The second way to improve the efficiency of energy harvesting is to enhance the
5
power extraction ability using optimized energy harvesting circuit. Many researchers
have investigated different energy storage methods and attempted to develop the
optimized circuit for energy extracting. Sodano et al [10] compared the efficiency of
a capacitor and a nickel metal hydride battery as energy storage media. Ottman [11]
developed an adaptive approach for energy harvesting from mechanically excited
piezoelectric element. By using a DC-DC converter with an adaptive control
algorithm, the energy harvested was four times that of direct charging without the
converter. Subsequently, self-adaptive power harvesting circuit using the techniques
termed ‘synchronous electric charge extraction’ [12] and ‘synchronous switch
harvesting on inductor’ [13] has been developed and results showed that the
synchronous circuit was able to increase power transfer by 400%. Yet, the additional
electronics for monitoring and power management on the other hand consumed some
energy harvested. More efficient circuit is still under development.
In this paper, a vibration energy harvesting system prototype with MFC patches on a
cantilever beam is developed. The output voltage of the MFC harvester is
experimentally tested and estimated using the finite element method (FEM).
Subsequently, the procedure of energy storing to the capacitor is simulated using the
electronic design automation (EDA) software. The results are verified with the
experimental ones. By combining the FEM and EDA simulations, parametric
analysis is conducted to evaluate the effects of system parameters for optimal power
harvesting.
6
2 EXPERIMENTAL STUDY
The energy harvesting system is composed of an aluminum cantilever beam, one
piece of P1-type MFC as actuator and two pieces of P2-type MFCs as harvesters, an
energy harvesting circuit EH300A, a small LED bulb and the power supply to the
actuator. The entire system is shown in Fig.1. Note that the P1-type MFC actuator is
used for a good controllable excitation of the system.. It is not needed in the practical
application.
The P1-type MFC utilizes d33 piezoelectric effect (Fig.2) to serve as the actuator to
excite the beam. So the beam vibration amplitude can be tuned by altering the
voltage input to the actuator. The two P2-type MFCs, which utilize the d31 effect
(Fig.2), are attached beside the P1-type MFC, serving as energy harvesters. The
reasons for choosing P1-type MFC as actuator are: (1) d33 is larger than d31; (2) the
operational voltage of P1-type ranges from -500V to +1500V [14], which enables it
suitable for actuation, while the operational voltage of P2-type is only -60V~ +360V;
and (3) the interdigital electrode configuration of P1-type MFC limits the current
output, which is not favorable for energy extraction. Two pieces of P2-type MFC
harvesters are used to test the efficiency of the harvesting system for three cases, i.e.,
one single MFC, two MFCs electrically connected in series and in parallel.
7
For the energy harvesting circuit, we utilize an EH300A module (Fig.3), developed
by Advanced Linear Devices, INC [15]. When an energy source starts to inject
energy into the inputs of the EH300A module in the form of electrical charge
impulses, these charge packets are collected and accumulated in an internal storage
capacitor bank. Fig.4 shows the waveform of voltage across the capacitor bank in
EH300A. Initially, the voltage across the capacitor bank, +V, starts at 0.0V. When
+V reaches VH, the module output (VP) is enabled to supply power to a load. In this
study, the load is an LED bulb. As power is drawn by the LED from the capacitor
bank during time duration t3 (Fig.4), +V decreases. When it reaches VL, output VP
switches off and stops supplying any further power. The charging cycle will restart
until VH is reached again. During each charging cycle that +V increases from VL to
VH or energy is delivered to the load, around 30mJ energy (taken from the datasheet
of EH300A [15]) is accumulated or released. In the experiment, time t2 in Fig.4 for
different cases is our concern since it reflects the efficiency of energy harvesting of
the system. The shorter is it, the higher the efficiency is.
3 FINITE ELEMENT MODELING
To determine the ability of energy generation of MFC, a finite element model is
developed using the commercial code ABAQUS6.6 to calculate the voltage output
from MFC. The geometric configuration is shown in Fig.5. The parameters of
energy harvesting system are list in Table 1. The mesh of finite element model is
8
shown in Fig. 6. The epoxy and aluminum beam are modeled using the reduced
second order solid element, i.e. C3D20R, and the MFC actuator and harvesters are
modeled using the piezoelectric element, i.e. C3D20RE.
3.1 Electrode Modeling
The entire top and bottom surface of P2-type MFC is covered by electrode. In finite
element analysis (FEA), the equation constraint [16] should be imposed on the
electrical potential degrees of the surface nodes to ensure a uniform potential, which
simulates the real electrodes. For the actuator P1-type MFC, it is quite difficult to
directly model the interdigital electrodes. For convenience of analysis, the P1-type
MFC will be equivalently converted to the P2-type MFC so that the top surface and
bottom surface are modeled as electrodes, as shown in Fig. 6. The voltage load on
the P1-type MFC actuator is applied by setting the potential on the bottom electrode
to be zero and imposing the sinusoidal electrical potential on the top electrode. The
equivalent conversion should ensure that the piezoelectric and electrical properties of
the P1-type MFC keep unchanged. For the piezoelectric property, when applying the
same voltage, the strain generated by MFC should be the same:
mm e
VtV
⋅=⋅ 3331 dd’ (1)
where tm=0.25mm and em=0.5mm are the thickness and the distance between two
neighboring interdigital electrodes of P1-type MFC, respectively. Hence, the
equivalent d’31 parameter applied in FEA is calculated as 1.87 E-10 C/N. Besides,
9
the dielectric constant 1.5E-8 F/m before conversion should be changed to 0.3E-8
F/m after conversion such that the capacitance is still 5nF as that of the original
P1-type MFC.
Rayleigh Damping
In FEA, the damping effect should be considered otherwise the calculation would be
terminated because of the convergence problem near the beam resonance. Both
energy extracted from the MFC harvesters and the damping from structure material
contribute to the entire damping effect of the system. However, in FEA, only the
open circuit voltage of MFC harvester is calculated and no energy is removed from
the system, in which case, we assume that the damping of the system is only
attributed to the damping of the beam material. Here, the Rayleigh damping [16] is
considered for the aluminum beam,
⎟⎟⎠
⎞⎜⎜⎝
⎛+= βω
ωαξ i
ii 2
1 (2)
where α and β are the unknown parameters; and iω is the frequency of the ith
vibration mode. To obtain α and β , the damping ratios for the 1st and 2nd
resonance modes should be experimentally determined. Usually, the log decrement
method [17] can be utilized to measure the damping ratio at the resonance frequency,
1
1ln2
1
+⋅=
nAA
nπξ (3)
where A1 and An+1 are the 1st and the (n+1)th peak value of voltage recorded by
10
digital multimeter. A simple experiment has been conducted to record the free
vibration response of the system. Using the experiment data and equation (3), the
damping ratios for the 1st and 2nd modes are obtained as 0.00641 =ξ and
0.00772 =ξ . Applying 1ξ and 2ξ to equation (2), the two parameters of the
Rayleigh damping can be determined as 0.66=α and 5-3.544E=β .
3.3 Results of Steady-State Analysis
Fig.7 shows the strain distribution of the cantilever beam and MFC harvesters at the
1st natural frequency. Figs.8 and 9 show the peak value of strain and RMS voltage
output from one single MFC harvester, respectively. It is noted that the values of
strain and voltage from FEA match well with the experimental results except for
minor shifts on the frequency axis. This could be attributed to the fact that the
cantilever beam is not perfectly clamped, as shown in Fig.1. For the 1st mode, the
natural frequencies obtained from the experiment and simulation results are 9.75Hz
and 10.269Hz, respectively, and the RMS voltage output are 11.5V and 10.8V,
respectively. The differences between the experiment and simulation results are
around 5%. Therefore, the finite element model is able to accurately evaluate the
voltage output of MFC harvester.
In energy harvesting applications with ultra-low frequency (around 1Hz) impulse
input, the cantilever beam will experience free vibration with damping at the 1st
11
natural frequency. At this resonance frequency, the MFC harvester will be subjected
to the maximum strain and hence release the maximum output voltage, as shown in
Fig.9. As a result, the efficiency of energy harvesting at resonance is of great
importance. In later sections, the efficiencies of MFC harvesters are considered at
the 1st natural frequency.
4 ELECTRONIC SIMULATION
The voltage output of MFC harvester can be obtained from FEA. However, based on
these results, we still cannot evaluate the power available to be extracted from the
MFC harvester. Actually, because of the intrinsic capacitance, the power generated
by the MFC harvester will be recovered back to the source. As a result, the
efficiency of energy harvesting system depends on the amount of energy extracted
and stored from the MFC. The EDA software Multisim10.0 by National Instrument
is utilized to simulate the energy extraction and storing procedures from the MFC
harvester. Fig.10 shows the circuit of the energy harvesting system. The EH300A
module is simplified as a full-wave rectifier and a capacitor bank, and the power
management module in EH300A is neglected. As the 1st natural frequency of
cantilever beam is around 10Hz, the impedance from the internal capacitance
(measured 25nF in experiment) is quite large around 637kΩ. The equivalent circuit
[18] of the MFC harvester is composed of a voltage source in series with its internal
capacitance, as shown in the dash box in Fig.10, which is similar to that for the
12
conventional piezoelectric material.
4.1 Efficiency at 1st Natural Frequency
The efficiency of the energy harvesting system at the 1st natural frequency is tested
for 3 cases, namely, one single MFC, two MFCs electrically connected in series and
in parallel. Figs.11 and 12 illustrate the history of charging current to the EH300A
and the energy storing procedure in the capacitor bank of EH300A, respectively.
Again, the simulation results match well with the experimental ones.
Table 2 lists the time t2 (refer to Fig.4) for 30mJ accumulated in EH300A and the
average power of energy storing from the experiment and electronic simulation for
the three cases at the 1st natural frequency. It is noted that MFCs electrically
connected in parallel generate the largest charging current to EH300A and hence are
most efficient to charge the energy storage capacitor with capacitance 6.6mF in
EH300A.
5 OPTIMIZATION OF ENERGY HARVESTING SYSTEM
As shown above, the FEA and EDA simulations are able to accurately evaluate the
voltage output of MFC harvesters and the energy storing to the EH300A. By
combing the two simulations, a parametric analysis can be performed to estimate the
13
optimal power generation of the system. In Table 2, it is noted that the parallel and
series connections alter both the capacitance and the MFC output voltage. The
parallel connection doubles the capacitance of the harvesting system without
changing the voltage output, while the series connection halves the capacitance but
doubles the MFC voltage output. The results of increased average power for energy
storage to EH300A indicate that both the capacitance of MFC harvesters and the
voltage output are the key factors to optimize the efficiency of the energy harvesting
system.
5.1 Effect of MFC Capacitance
The capacitance of MFC can be changed by the dielectric constant, the thickness and
the area of MFC.
Dielectric constant
With the advancement of material science, the dielectric constant of piezoceramics
can be changed during fabrication. Here, 5 values of dielectric constant are
considered to study its effect on the performance of energy harvesting system. On
the contrary to expectation, the dielectric constant fails to show significant influence
on energy harvesting power, as demonstrated in Table 3. This should be attributed to
the accompanying variation of output voltage from the MFC harvester. In Tables 3,
4 and 5, the values with ‘*’ are the actual values of MFC harvester in the
experiment.
14
Thickness of MFC
With decrease in MFC thickness, the capacitance will relatively increase. To our
disappointment, varying the MFC thickness also fails to improve the power
extraction from the MFC, as shown in Table 4.
MFC stack configuration
The fact that changing the dielectric constant or MFC thickness can not improve the
energy harvesting power is probably attributed to that the charges available to be
extracted do not increase or even decrease for the specific MFC area. As for
increasing the area of MFC, multiple MFCs electrically connected in parallel have
been proven the most efficient. But increasing MFC area as in the experiment is not
suitable for a wearable energy harvesting application. Thus, we try another way to
equivalently increase the area of MFC, i.e., using the MFC stack configuration
where multiple MFCs are geometrically connected in series while electrically in
parallel, which is favorable to reduce the size of the energy harvesting system. In
Table 5, it is observed that for the 2-layer MFC stack configuration, the energy
extraction power can achieve a maximum increase of 26% compared to the
non-stack configuration. But for more layers of MFC, the energy extraction power
decreases. This is due to the fact that the multilayer stack configuration limits the
flexibility of MFC, which in turn reduces the beam vibration and hence the output
voltage, as shown in Table 5.
15
5.2 Varying Beam Dimensions
The above results on the variation of MFC capacitance affirm that the MFC voltage
output is another important factor that affects the system performance. In this section,
the beam dimensions will be optimized to increase the beam vibration amplitude.
Besides, the beam dimensions will also affect the 1st natural frequency. Here, only
the thickness and length of the beam are considered for optimization. With larger
thickness and smaller length, higher natural frequency is expected, while with larger
thickness and length, lower voltage output from the MFC harvester is expected, as
shown in Figs.13 and 14.
With the given impedance, higher open circuit voltage means higher current, which
is favorable for charge accumulation in a capacitor or battery. However, besides the
capacitance in the capacitive energy harvesting circuit (Fig.10), the impedance also
depends on the excitation frequency. In this work, we only consider the power
achieved at the 1st natural frequency. The structural configuration for maximum open
circuit voltage does not ensure the maximum power output at the 1st natural
frequency (used as the excitation frequency). The maximum power output is
achieved with the trade-off between the open circuit voltage and the natural
frequency, as shown in Figs.13-15. With 7 values of length and 6 values of
thickness in the simulation, the optimized power can be obtained at length=250mm
and thickness=1.5mm, as shown in Fig.15.
16
5.3 Optimized Energy Harvesting Performance
Based on the above parametric analysis, for optimal energy harvesting performance,
it is recommended to use the 2-layer MFC stack configuration with the beam
dimensions of 250mm×62mm×1.5mm. The energy harvesting power can be
optimized as 151.6 μw when the beam vibrates at the 1st natural frequency, as listed
in Table 6.
6 CONCLUSION
In this paper, an energy harvesting system prototype with MFC patches on a
cantilever beam is developed and the efficiency of energy harvesting is tested. A
finite element model for the system is developed and verified with the experimental
results, showing its capability of accurate evaluation of the voltage output from the
MFC harvesters. Subsequently, the procedure of energy extraction and storing to the
capacitor in EH300A is simulated by using the electronic design automation (EDA)
software. By combining the FEM and EDA simulations, parametric analysis is
conducted to optimize the energy harvesting performance of the system. It is found
that with the MFC stack configuration with 2 layers and the beam dimensions of
250mm×62mm×1.5mm, energy extraction from the MFC harvesters can be
optimized. The optimized power of 151.6 μw is achieved when the beam vibrates at
the 1st natural frequency. It is demonstrated that the combined FEM and EDA
17
simulations are useful tools for evaluating and optimizing the efficiency of MFC
based energy harvesting systems, which are also applicable to other piezoelectric
material based systems.
REFERENCES
[1] Werlink R J, Bryant R G and Manos D (2002), “Macro fiber piezocomposite
actuator poling study”, NASA/TM-2002-211434.
[2] Umeda M, Nakamura K and Ueha S (1996), “Analysis of transformation of
mechanical impact energy to electrical energy using a piezoelectric vibrator”,
Jpn J Appl Phys, vol. 35, pp. 3267-3273.
[3] Ramsey M J and Clark W W (2001), “Piezoelectric energy harvesting for bio
MEMS applications”, Proc. SPIE, vol. 4332, pp. 429-438.
[4] Kymissis J, Kendall D, Paradiso J and Gershenfeld N (1998), “Parasitic power
harvesting in shoes”, Second IEEE International Conference on Wearable
Computing, pp. 132-139.
[5] Sodano H A, Inman D J and Park G (2005), “Comparison of piezoelectric
energy harvesting devices for recharging batteries”, J. Intell. Mater. Syst.
Struct., vol. 16, pp. 799-807.
18
[6] Ng T H and Liao W H (2005), “Sensitivity analysis and energy harvesting for a
self-powered piezoelectric sensor”, J. Intell. Mater. Syst. Struct., vol. 16, pp.
785-797.
[7] Platt S R, Farritor S and Harder H (2005), “On low-frequency electric power
generation with PZT ceramics”, IEEE/ASME Trans. Mechatronics, vol. 10, pp.
240-252.
[8] Jiang S, Li X, Guo S, Hu Y, Yang J and Jiang Q (2005), “Performance of a
piezoelectric bimorph for scavenging vibration energy”, Smart Mater. Struct.,
vol. 14, pp. 769-774.
[9] Roundy S, Leland E S, Baker J, Carleton E, Reilly E, Lai E, Otis B, Rabaey J
M, Wright P K and Sundararajan V (2005), “Improving power output for
vibration-based energy scavengers”, Pervasive Computing, IEEE, vol. 4, pp.
28-36.
[10] Sodano H A, Inman D J and Park G (2005), “Generation and storage of
electricity from power harvesting devices”, J. Intell. Mater. Syst. Struct., vol.
16, pp. 67-75.
[11] Ottman G K (2002), “Adaptive piezoelectric energy harvesting circuit for
wireless remote power supply”, IEEE Trans. on Power Electronics, vol. 17, pp.
669-676.
19
[12] Lefeuvre E, Badel A, Richard C and Guyomar D (2005), “Piezoelectric energy
harvesting device optimization by synchronous electric charge extraction”, J.
Intell. Mater. Syst. Struct., vol. 16, pp. 865-876.
[13] Badel A, Guyomar D, Lefeuvre E and Richard C (2005), “Efficiency
enhancement of a piezoelectric energy harvesting device in pulsed operation by
synchronous charge inversion”, J. Intell. Mater. Syst. Struct., vol. 16, pp.
889-901.
[14] http://www.smart-material.com/MFC/MFC_specs.php
[15] EH300A datasheet, http://www.aldinc.com/pdf/EH300ds.pdf
[16] ABAQUS Analysis User’s Manual, Version 6.6-1, Section 28.2.1: Linear
constraint equations, and Section 20.1.1: Material damping (2006).
[17] Meirovitch L (2005), Fundamentals of Vibrations (New York: McGraw-Hill).
[18] Park C H (2001), “On the circuit model of piezoceramics”, J. Intell. Mater.
Syst. Struct., vol. 12, pp. 515-522.
20
Table 1 Material and geometric parameters of MFC and cantilever beam
Item Value MFC active area dimensions (both P1- and P2-type) 28mm×14mm×0.25mm MFC piezoelectric constant d33 3.74E-10 C/N MFC piezoelectric constant d31 1.7E-10 C/N MFC dielectric constant 1.5E-8 F/m
MFC elastic constants E1 = 30.34GPa, E3 = 15.86GPa, v13=0.31, G13=5.52GPa
MFC density 7500 Kg/m3 Epoxy dimensions 28mm×14mm×0.1mm Epoxy elastic constants E=0.1GPa, v=0.38 Epoxy density 2200 Kg/m3 Aluminum beam dimensions 350mm×62mm×1.5mm Aluminum elastic constants E = 68GPa, v=0.35 Aluminum density 2700 Kg/m3
Table 2 Energy harvesting performance for three cases
Experiment Simulation
MFC connection
Capacitance (nF)
Open circuit
Vrms(V) t2 (sec) Average
power(μw) t2 (sec) Average power(μw)
single 25 11.5 978 30.67 942 31.85 in series 12.5 21.5 845 35.50 835 35.93
in parallel 50 11.85 450 66.67 471 63.69
Table 3 Energy harvesting performance of MFC with various dielectric constants
MFC dielectric constant (F/m)
Open circuit Vrms (V)
Capacitance (nF)
Time for 30mJ accumulated(sec)
Average power(μw)
1.00E-08 15.9466 16.667 860.403 34.87 1.25E-08 12.8666 20.833 889.418 33.73
1.5E-08(*) 10.7967 25 922.260 32.53 1.75E-08 9.2997 29.17 960.776 31.22 2.00E-08 8.16694 33.33 1004.428 29.87
21
Table 4 Energy harvesting performance of MFC with various thicknesses
MFC thickness
(mm)
1st natural freqency
(Hz)
Open circuit Vrms(V)
Capacitance (nF)
Time for 30mJ accumulated(sec)
Average power(μw)
0.1 10.205 5.41591 62.5 1028.865 29.16 0.15 10.227 7.49473 41.67 912.697 32.87 0.2 10.249 9.24628 31.25 905.464 33.13
0.25 (*) 10.269 10.7967 25 922.260 32.53 0.3 10.291 12.1485 20.833 952.331 31.50 0.35 10.311 13.3117 17.857 991.425 30.26
Table 5 Energy harvesting performance of MFC multilayer stack configurations
Multilayer number
1st natural frequency
(Hz)
Open circuit
Vrms(V)
RMS tip deflection
(mm)
Capacitance (nF)
Time for 30mJ accumulated
(sec)
Average power(μw)
1(*) 10.269 10.7967 9.28 25 922.260 32.53 2 10.367 7.62901 8.64 50 732.332 40.97 3 10.436 5.47782 8.18 75 823.795 36.42 4 10.487 4.07801 7.84 100 1142.759 26.25
Table 6 Optimized performance of MFC energy harvesting system
1st natural frequency (Hz)
Open circuit Vrms (V)
Capacitance (nF)
Time for 30mJ accumulated(sec)
Average power(μw)
20.575 12.702 50 197.94 151.6
22
Figure 1 MFC energy harvesting system prototype
(a) (b)
Figure 2 P1- and P2-type MFCs (a) P1-type, (b) P2-type
Figure 3 EH300A
Figure 4 Voltage waveform across the capacitor bank in EH300A (from EH300A
datasheet [15])
23
Figure 5 Geometric configuration of cantilever beam with MFC patches
Figure 6 Finite element model
24
Figure 7 Strain and electrical potential distribution at 1st natural frequency
25
0
50
100
150
200
250
0 20 40 60 80
Frequency(Hz)
peak
val
ue o
f stra
in (μ
)
Experiment FEM
Figure 8 Peak value of strain at centre of top surface of MFC harvester
0
2
4
6
8
10
12
0 10 20 30 40 50 60 70 80
Frequency(Hz)
Ope
n_C
ircui
t_V
olta
ge_r
ms(
v)
Experiment FEM
Figure 9 RMS voltage output of MFC harvester
26
Figure 10 Circuit of energy harvesting system
27
12.515
17.520
22.525
27.530
32.535
0 3 6 9 12 15 18T(min)
Irms(μA
)
Experiment (single MFC) Simulation (Single MFC)Experiment (2 MFCs in series) Simulation (2 MFCs in series)Experiment (2 MFCs in parallel) Simulation (2 MFCs in parallel)
Figure 11 Charging curves for three cases at the first natural frequency
1.8
2.12.4
2.7
3
3.33.6
3.9
0 3 6 9 12 15 18T(min)
Vol
tage
acr
oss
capa
cito
r(v)
Experiment (single MFC) Simulation (Single MFC)Experiment (2 MFCs in series) Simulation (2 MFCs in series)Experiment (2 MFCs in parallel) Simulation (2 MFCs in parallel)
Figure 12 Energy storing procedure for three cases at the first natural
frequency
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Figure 13 1st natural frequency with various beam dimensions
Figure 14 MFC voltage output with various beam dimensions
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Figure 15 Average power of energy extraction with various beam dimensions